-
2
-
-
4444378590
-
-
Chapman and Hall, Boca Raton, FL
-
Banerjee S, Carlin B P, Gelfand A E, 2004 Hierarchical Modeling and Analysisfor Spatial Data (Chapman and Hall, Boca Raton, FL)
-
(2004)
Hierarchical Modeling and Analysisfor Spatial Data
-
-
Banerjee, S.1
Carlin, B.P.2
Gelfand, A.E.3
-
4
-
-
6144231228
-
Geographically weighted regression: A method for exploring spatial nonstationarity
-
Brunsdon C, Fotheringham A S, Charlton M 1996, "Geographically weighted regression: a method for exploring spatial nonstationarity" Geographical Analysis 28 281-298
-
(1996)
Geographical Analysis
, vol.28
, pp. 281-298
-
-
Brunsdon, C.1
Fotheringham, A.S.2
Charlton, M.3
-
6
-
-
84982770928
-
Generating models by the expansion method: Applications to geographic research
-
Casetti E, 1992, "Generating models by the expansion method: applications to geographic research" Geographical Analysis 4 81-91
-
(1992)
Geographical Analysis
, vol.4
, pp. 81-91
-
-
Casetti, E.1
-
8
-
-
0142072527
-
Modelling spatially varying impacts of socioeconomic predictors on mortality outcomes
-
Congdon P, 2003, "Modelling spatially varying impacts of socioeconomic predictors on mortality outcomes" Journal of Geographical Systems 5 161-184
-
(2003)
Journal of Geographical Systems
, vol.5
, pp. 161-184
-
-
Congdon, P.1
-
9
-
-
3242708140
-
Least angle regression
-
Efron B, Hastie T, Johnstone I, Tibshirani R, 2004a, "Least angle regression" The Annals of Statistics 32 407-451
-
(2004)
The Annals of Statistics
, vol.32
, pp. 407-451
-
-
Efron, B.1
Hastie, T.2
Johnstone, I.3
Tibshirani, R.4
-
10
-
-
70449405755
-
Rejoinder to least angle regression
-
Efron B, Hastie T, Johnstone I, Tibshirani R, 2004b, "Rejoinder to least angle regression" The Annals of Statistics 32 494-499
-
(2004)
The Annals of Statistics
, vol.32
, pp. 494-499
-
-
Efron, B.1
Hastie, T.2
Johnstone, I.3
Tibshirani, R.4
-
11
-
-
35748982456
-
A systematic investigation of cross-validation in GWR model estimation: Empirical analysis and Monte Carlo simulations
-
Farber S, Páez A, 2007, "A systematic investigation of cross-validation in GWR model estimation: empirical analysis and Monte Carlo simulations" Journal of Geographical Systems 9 371-396
-
(2007)
Journal of Geographical Systems
, vol.9
, pp. 371-396
-
-
Farber, S.1
Páez, A.2
-
12
-
-
0038092455
-
-
John Wiley, Chichester, Sussex
-
Fotheringham A S, Brunsdon C, Charlton M, 2002 Geographically Weighted Regression: The Analysis of Spatially Varying Relationships (John Wiley, Chichester, Sussex)
-
(2002)
Geographically Weighted Regression: The Analysis of Spatially Varying Relationships
-
-
Fotheringham, A.S.1
Brunsdon, C.2
Charlton, M.3
-
13
-
-
84952149204
-
A statistical view of some chemometrics regression tools
-
Frank I E, Friedman J H, 1993, "A statistical view of some chemometrics regression tools" Technometrics 35 109-148
-
(1993)
Technometrics
, vol.35
, pp. 109-148
-
-
Frank, I.E.1
Friedman, J.H.2
-
14
-
-
0042744714
-
Spatial modeling with spatially varying coefficient processes
-
Gelfand A E, Kim H, Sirmans C F, Banerjee S, 2003, "Spatial modeling with spatially varying coefficient processes" Journal of the American Statistical Association 98 387-396
-
(2003)
Journal of the American Statistical Association
, vol.98
, pp. 387-396
-
-
Gelfand, A.E.1
Kim, H.2
Sirmans, C.F.3
Banerjee, S.4
-
15
-
-
0004123838
-
Least absolute shrinkage is equivalent to quadratic penalization
-
Eds, Springer, Berlin pp
-
Grandvalet Y, 1998, "Least absolute shrinkage is equivalent to quadratic penalization", in ICANN'98, Volume I of Perspectives in Neural Computing Eds L Niklasson, M Boden, T Ziemske (Springer, Berlin) pp 201-206
-
(1998)
ICANN'98, Volume I of Perspectives in Neural Computing
, pp. 201-206
-
-
Grandvalet, Y.1
-
16
-
-
0003684449
-
-
Springer, New York
-
Hastie T, Tibshirani R, Friedman J, 2001 The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer, New York)
-
(2001)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
17
-
-
21244439342
-
A family of geographically weighted regression models
-
Eds L Anselin, R J G M Florax, S J Rey (Springer, Berlin) pp
-
LeSage J P, 2004, "A family of geographically weighted regression models", in Advances in Spatial Econometrics. Methodology, Tools and Applications Eds L Anselin, R J G M Florax, S J Rey (Springer, Berlin) pp 241-264
-
(2004)
Advances in Spatial Econometrics. Methodology, Tools and Applications
, pp. 241-264
-
-
LeSage, J.P.1
-
20
-
-
0003664269
-
-
Irwin, Chicago, IL
-
Neter J, Kitner M H, Nachtsheim C J, Wasserman W, 1996 Applied Linear Regression Models (Irwin, Chicago, IL)
-
(1996)
Applied Linear Regression Models
-
-
Neter, J.1
Kitner, M.H.2
Nachtsheim, C.J.3
Wasserman, W.4
-
21
-
-
0036257201
-
A general framework for estirnation and inference of geographically weighted regression models: 1. Location-specific kernel bandwidths and a test for locational heterogeneity
-
Páez A, Uchida T, Miyamoto K, 2002, "A general framework for estirnation and inference of geographically weighted regression models: 1. Location-specific kernel bandwidths and a test for locational heterogeneity" Environment and Planning A 34 733-154
-
(2002)
Environment and Planning A
, vol.34
, pp. 733-154
-
-
Páez, A.1
Uchida, T.2
Miyamoto, K.3
-
23
-
-
34347375816
-
Quantifyinggeographic variations in associations between alcohol distribution and violence: A comparison of geographically weighted regression and spatially varying coefficient models
-
Waller L, Zhu L, Gotway C, Gorman D, Gruenewald P, 2007, "Quantifyinggeographic variations in associations between alcohol distribution and violence: a comparison of geographically weighted regression and spatially varying coefficient models" Stochastic Environmental Research and Risk Assessment 21 573-588
-
(2007)
Stochastic Environmental Research and Risk Assessment
, vol.21
, pp. 573-588
-
-
Waller, L.1
Zhu, L.2
Gotway, C.3
Gorman, D.4
Gruenewald, P.5
-
24
-
-
56349163837
-
-
PhD dissertation, Department of Geography, The Ohio State University, Columbus, OH
-
Wheeler D, 2006 Diagnostic Tools and Remedial Methods for Collinearity in Linear Regression Models with Spatially Varying Coefficients PhD dissertation, Department of Geography, The Ohio State University, Columbus, OH
-
(2006)
Diagnostic Tools and Remedial Methods for Collinearity in Linear Regression Models with Spatially Varying Coefficients
-
-
Wheeler, D.1
-
25
-
-
35648994302
-
Diagnostic tools and a remedial method for collinearity in geographically weighted regression
-
Wheeler D, 2007, "Diagnostic tools and a remedial method for collinearity in geographically weighted regression" Environment and Planning A 39 2464-2481
-
(2007)
Environment and Planning A
, vol.39
, pp. 2464-2481
-
-
Wheeler, D.1
-
26
-
-
34250682635
-
An assessment of coefficient accuracy in linear regression models with spatially varying coefficients
-
Wheeler D, Calder C, 2007, "An assessment of coefficient accuracy in linear regression models with spatially varying coefficients" Journal of Geographical Systems 9 145-166
-
(2007)
Journal of Geographical Systems
, vol.9
, pp. 145-166
-
-
Wheeler, D.1
Calder, C.2
-
27
-
-
21244497275
-
Mutlicollinearity and correlation among local regression coefficients in geographically weighted regression
-
Wheeler D, Tiefelsdorf M, 2005, "Mutlicollinearity and correlation among local regression coefficients in geographically weighted regression" Journal of Geographical Systems 7 161-187
-
(2005)
Journal of Geographical Systems
, vol.7
, pp. 161-187
-
-
Wheeler, D.1
Tiefelsdorf, M.2
|